ArcGIS Pro

LAS Point Statistics By Area

In this topic

Summary

Evaluates the statistics of LAS points that overlay the area defined by polygon features.

Usage

You can have the LAS dataset layer limit the LAS points that are displayed and processed by selecting any combination of classification codes, classification flags, and return values in the layer's filter settings. The filters can be defined through the Layer Properties dialog box or the Make LAS Dataset Layer tool.

Consider using this tool
to determine the characteristics of lidar points over regions of interest defined by polygon boundaries. Only elevation obtained from LAS points will be evaluated. Any Z-values contributed by surface constraint features referenced by the LAS dataset will be ignored.

This tool adds several fields to the attribute table of the input features. If the fields already exist, their values will be overwritten. The values in the updated fields will reflect the indicated statistics about LAS points that overlap the input feature:

Z_MIN—The lowest Z-value.

Z_MAX—The highest Z-value.

Z_MEAN—The average Z-value.

POINT_COUNT—The tally of LAS points that were evaluated.

STD_DEV—The standard deviation of Z-values.

Syntax

LasPointStatsByArea_3d (in_las_dataset, in_features, out_property)

Parameter

Explanation

Data Type

in_las_dataset

The LAS dataset to process.

LAS Dataset Layer

in_features

The polygon that defines the area for which statistics will be reported.

Feature Layer

out_property

[out_property,...]

The properties that will be calculated.

Z_MIN —The lowest Z value of LAS points overlapping the feature.

Z_MAX —The highest Z value of LAS points overlapping the feature.

Z_MEAN —The average Z value of LAS points overlapping the feature.

POINT_COUNT —The tally of LAS points that were evaluated.

STANDARD_DEVIATION —The standard deviation of Z values.

String

Derived Output

Name

Explanation

Data Type

output_polygons

The updated input polygon features.

Feature Class

Code sample

LasPointStatsByArea example 1 (Python window)

The following sample demonstrates the use of this tool in the Python window.